[Linux-aus] Tutorial on data science at LCA

Paul Gear paul at gear.dyndns.org
Wed Jan 13 20:59:58 AEDT 2016

On 13/01/16 18:30, Tennessee Leeuwenburg wrote:
> Hi all,
> I am running a tutorial on data science at LCA. The chief language
> used will be Python, but users of other technologies will still find
> the concepts relevant. In preparation for this, I will be dusting off
> my slide deck, re-running the code, and updating the content with a
> small amount of new findings from the last 6 months. This is also an
> opportunity to focus the content on what the LCA audience might be
> most interested in.
> Does anyone on this list have any particular questions around data
> science / machine learning / AI which they would like to see answered? 
> The session is practical, with supplied code and data, and audience
> members should be able to re-create the results while the session is
> being presented. Are there any particular problems that people are
> confronted with? I might not be able to re-work a major case study,
> but I should be able to incorporate some relevant examples...
> Cheers,
> -T

Hi Tennessee,

I won't be at LCA this year, but would love to see the slides/code
samples.  Here are my suggestions, not having any real background in
data science:

  * What's the difference between data science and computer science? 
    i.e. What are the important characteristics which distinguish it as
    a field (or sub-field) in its own right?
  * My eyes tend to glaze over at the first sign of grade 12 or higher
    maths (even though I did pretty well at it in grade 12).  What are
    the main mathematical concepts that non-data scientists need to
    brush up on to understand what data scientists are telling them?
  * Keen to hear anything you can teach about the theory behind trending
    & anomaly detection, especially as it relates to modern monitoring


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